Image & Computer Vision AI Engineer

Babel Street is the trusted technology partner for the world’s most advanced identity intelligence and risk operations. We deliver advanced AI and data analytics solutions providing unmatched, analysis-ready data regardless of language, proactive risk identification, 360-degree insights, high-speed automation, and seamless integration into existing systems. Babel Street empower s government and commercial organizations to transform high-stakes identity and risk operations into a strategic advantage .

The actionable insights we deliver safeguard lives and protect critical assets around the world . K. For more information, visit www.

com . ROLE SUMMARY: As an Engineer on the Image & Computer Vision AI team, you will play a hands-on role in developing and deploying computer vision capabilities that support Babel Street’s intelligence applications. You will build systems that extract, analyze, and reason over visual data—enabling facial matching, object and scene understanding, geolocation and location inference from imagery, and multimodal intelligence workflows.

This role is execution-focused and suited for engineers with strong foundations in computer vision, image processing, and machine learning who want to apply their skills to real-world, mission-driven problems. You will work closely with AI, Product, and Engineering teams to deliver reliable, scalable, and cost-efficient vision capabilities, including integration with multimodal LLM systems that allow users to search and reason over images using natural language. This is a hybrid role to be based out of either our Reston, VA/Washington DC office or our Somerville MA office.

ROLE FOCUS; This role spans three practical execution areas: Computer Vision & Image Analytics You will implement and operate image analytics pipelines that support facial matching, object detection, scene understanding, and image similarity.

Requirements

Geospatial & Location Inference from Imagery You will contribute to capabilities that infer location, context, or environmental attributes from imagery—leveraging visual cues, metadata, and learned representations. This includes supporting image-based geolocation, landmark recognition, and contextual scene analysis used in intelligence workflows. Multi-Modal AI & Image Search You will support multimodal AI systems that combine vision models with LLMs, embeddings, and retrieval pipelines to enable natural-language search and reasoning over images and image collections.

You will help integrate visual understanding into broader intelligence applications and workflows.

Develop and support object detection, image similarity, and scene understanding models. Contribute to image-based geolocation and location inference capabilities using visual features and contextual signals. Support multimodal AI workflows that combine image embeddings with LLM-based search and reasoning.

Write clean, maintainable Python code and contribute to production services and APIs. Assist with model evaluation, bias testing, and accuracy monitoring for vision systems. Optimize inference pipelines for performance, scalability, and cost efficiency (GPU usage, batching, model selection).

Collaborate with Product and Engineering teams to integrate vision capabilities into user-facing intelligence applications.

KEY RESPONSIBILITIES

: Build and maintain computer vision pipelines for image ingestion, preprocessing, inference, and evaluation.

QUALIFICATIONS

: Required 3+ years of experience in computer vision, image proce